Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497314
F. Barbaresco, Thibault Forget, Emmanuel Chevallier, J. Angulo
Radar sea clutter inhomogeneity in range is characterized by Doppler mean and spectrum width variations. We propose a new approach for robust statistical density estimation and segmentation of sea clutter Doppler spectrum. In each range cell, Doppler is characterized by a Toeplitz Hermitian Positive Definite covariance matrix that is coded in Poincaré's unit poly-disk and we use adaptation of standard kernel methods to density estimation on this specific Riemannian manifold. Based on this non-parametric approach to estimate statistical density of Doppler Spectrum, we address the problem of sea clutter data mapping and segmentation by extending "Mean-Shift" tool for these densities on Poincaré's unit poly-disk. This statistical segmentation is requested for robust detection of targets in sea clutter, especially in case of high sea state.
{"title":"Doppler spectrum segmentation of radar sea clutter by mean-shift and information geometry metric","authors":"F. Barbaresco, Thibault Forget, Emmanuel Chevallier, J. Angulo","doi":"10.1109/IRS.2016.7497314","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497314","url":null,"abstract":"Radar sea clutter inhomogeneity in range is characterized by Doppler mean and spectrum width variations. We propose a new approach for robust statistical density estimation and segmentation of sea clutter Doppler spectrum. In each range cell, Doppler is characterized by a Toeplitz Hermitian Positive Definite covariance matrix that is coded in Poincaré's unit poly-disk and we use adaptation of standard kernel methods to density estimation on this specific Riemannian manifold. Based on this non-parametric approach to estimate statistical density of Doppler Spectrum, we address the problem of sea clutter data mapping and segmentation by extending \"Mean-Shift\" tool for these densities on Poincaré's unit poly-disk. This statistical segmentation is requested for robust detection of targets in sea clutter, especially in case of high sea state.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"323 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114029748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7884697
A. S. Turk, A. Kizilay, Melek Orhan, A. Çalışkan
In this paper, we investigated adaptive signal processing algorithms for high-resolution imaging of short range targets by 24 GHz millimeter wave (MMW) surveillance radar system. For test measurements, a step frequency continuous wave (SFCW) based Synthetic Aperture Radar (SAR) imaging system has been developed by using Anritsu MS4644A Vector Network Analyzer (VNA) and A-scan radar data were collected to demonstrate B-scan target images. We applied SAR processing and MUSIC (Multiple Signal Classification) algorithm for raw data to enhance the cross-range and range resolutions, respectively. The fusion of SAR and MUSIC algorithms is proposed to obtain improved image quality for better target identification and false alarm rate performance.
本文研究了24 GHz毫米波监视雷达系统对近距离目标进行高分辨率成像的自适应信号处理算法。在测试测量中，利用安立公司MS4644A矢量网络分析仪(VNA)开发了基于步进频率连续波(SFCW)的合成孔径雷达(SAR)成像系统，并采集了a扫描雷达数据来演示b扫描目标图像。对原始数据分别采用SAR处理和MUSIC (Multiple Signal Classification)算法来提高交叉距离和距离分辨率。提出了SAR算法和MUSIC算法的融合，提高了图像质量，提高了目标识别和虚警率性能。
{"title":"High resolution signal processing techniques for millimeter wave short range surveillance radar","authors":"A. S. Turk, A. Kizilay, Melek Orhan, A. Çalışkan","doi":"10.1109/IRS.2016.7884697","DOIUrl":"https://doi.org/10.1109/IRS.2016.7884697","url":null,"abstract":"In this paper, we investigated adaptive signal processing algorithms for high-resolution imaging of short range targets by 24 GHz millimeter wave (MMW) surveillance radar system. For test measurements, a step frequency continuous wave (SFCW) based Synthetic Aperture Radar (SAR) imaging system has been developed by using Anritsu MS4644A Vector Network Analyzer (VNA) and A-scan radar data were collected to demonstrate B-scan target images. We applied SAR processing and MUSIC (Multiple Signal Classification) algorithm for raw data to enhance the cross-range and range resolutions, respectively. The fusion of SAR and MUSIC algorithms is proposed to obtain improved image quality for better target identification and false alarm rate performance.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128279387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497261
A. Kurowská
This paper provides a preliminary survey of the algoritms used in ISAR imaging for the ship recognition. It provides an overview of existing literature and summarises the current state on a topic. The author of the paper focuses on the algorithms for a single target.
{"title":"The preliminary survey of ship recognition algorithms using ISAR images","authors":"A. Kurowská","doi":"10.1109/IRS.2016.7497261","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497261","url":null,"abstract":"This paper provides a preliminary survey of the algoritms used in ISAR imaging for the ship recognition. It provides an overview of existing literature and summarises the current state on a topic. The author of the paper focuses on the algorithms for a single target.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129255761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497357
E. Barcaroli, F. Cuccoli, S. Lischi, A. Lupidi, L. Facheris
POWERS is a polarimetric weather radar signal simulator developed by the RaSS (Radar and Surveillance System) Laboratory. This software allows to produce realistic weather radar measurements from a known meteorological scenario, generated by the WRF (Weather Research and Forecast) model. One of the problems encountered when developing complex simulators like POWERS, is to identify a number of methods through which one can assess their ability to generate realistic signals. In previous works we identified some of them. Here we discuss the general issue of the consistency of the simulator's outputs with respect to the original atmospheric scenario. Such analysis is based on a couple of real weather events: the first occurred in August 2015 in the Florence area and the second one in October 2012 over the Strait of Sicily. The analysis involves the precipitating liquid water provided by WRF and the reflectivity outputs gathered by POWERS when operating in the meteorological scenario defined by WRF itself. The objective of the analysis is to define the physical consistency between such scenario and the POWERS' reflectivity outputs by evaluating the errors made to retrieve the water content through the radar observables in both ideal and non-ideal conditions, and correlating the error spread to the variability of the microphysical parameters in the WRF scene.
{"title":"Output consistency analysis of the polarimetric weather radar simulator through real weather events","authors":"E. Barcaroli, F. Cuccoli, S. Lischi, A. Lupidi, L. Facheris","doi":"10.1109/IRS.2016.7497357","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497357","url":null,"abstract":"POWERS is a polarimetric weather radar signal simulator developed by the RaSS (Radar and Surveillance System) Laboratory. This software allows to produce realistic weather radar measurements from a known meteorological scenario, generated by the WRF (Weather Research and Forecast) model. One of the problems encountered when developing complex simulators like POWERS, is to identify a number of methods through which one can assess their ability to generate realistic signals. In previous works we identified some of them. Here we discuss the general issue of the consistency of the simulator's outputs with respect to the original atmospheric scenario. Such analysis is based on a couple of real weather events: the first occurred in August 2015 in the Florence area and the second one in October 2012 over the Strait of Sicily. The analysis involves the precipitating liquid water provided by WRF and the reflectivity outputs gathered by POWERS when operating in the meteorological scenario defined by WRF itself. The objective of the analysis is to define the physical consistency between such scenario and the POWERS' reflectivity outputs by evaluating the errors made to retrieve the water content through the radar observables in both ideal and non-ideal conditions, and correlating the error spread to the variability of the microphysical parameters in the WRF scene.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132719584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497324
R. Gourova, R. Pribic, A. Yarovoy
Analog transmission of an Alltop digital sequence has been investigated. Three approaches to generate the continuous version of the Alltop sequence were studied - linear interpolation, Fourier transform (FT) expansion and direct oversampling. The feasibility of the transmission using the three methods was investigated through simulations and waveform synthesis in an actual waveform-agile radar system. Applicability of sparse signal processing with generated Alltop waveforms has been demonstrated.
{"title":"Theory and practice of an Alltop waveform","authors":"R. Gourova, R. Pribic, A. Yarovoy","doi":"10.1109/IRS.2016.7497324","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497324","url":null,"abstract":"Analog transmission of an Alltop digital sequence has been investigated. Three approaches to generate the continuous version of the Alltop sequence were studied - linear interpolation, Fourier transform (FT) expansion and direct oversampling. The feasibility of the transmission using the three methods was investigated through simulations and waveform synthesis in an actual waveform-agile radar system. Applicability of sparse signal processing with generated Alltop waveforms has been demonstrated.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127164615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497337
C. Kabakchiev, K. Kabakchiev, I. Garvanov, V. Behar, K. Kulpa, H. Rohling, D. Kabakchieva, A. Yarovoy
In this paper we analyze the power budget and calculate signal to noise ratio (SNR) and radar cross section (RCS) for different ground targets using a forward scattering radar (FSR) system, which consists of a transmitter mounted on a satellite of GPS and a receiver located on the Earth's surface. The FSR is a specific bistatic radar system where the bistatic angle is near 180o, and the target is located near the transmitter-receiver baseline. Theoretical and numerical calculations of SNR and RCS are presented for different ground targets when the GPS L1 signal is transmitted by satellites. The SNR and RCS are also estimated by using real records of the GPS signal shadows from different targets. The obtained numerical and experimental results are analyzed and discussed.
{"title":"Experimental verification of target shadow parameter estimation in GPS FSR","authors":"C. Kabakchiev, K. Kabakchiev, I. Garvanov, V. Behar, K. Kulpa, H. Rohling, D. Kabakchieva, A. Yarovoy","doi":"10.1109/IRS.2016.7497337","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497337","url":null,"abstract":"In this paper we analyze the power budget and calculate signal to noise ratio (SNR) and radar cross section (RCS) for different ground targets using a forward scattering radar (FSR) system, which consists of a transmitter mounted on a satellite of GPS and a receiver located on the Earth's surface. The FSR is a specific bistatic radar system where the bistatic angle is near 180o, and the target is located near the transmitter-receiver baseline. Theoretical and numerical calculations of SNR and RCS are presented for different ground targets when the GPS L1 signal is transmitted by satellites. The SNR and RCS are also estimated by using real records of the GPS signal shadows from different targets. The obtained numerical and experimental results are analyzed and discussed.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127211920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497350
S. Neemat, O. Krasnov, A. Yarovoy
Real-time reconfigurable digital heterodyne LFMCW radar systems offer degrees of flexibility in selecting parameters for the transmitted waveform and for the digital receiver signal processing chain. These parameters are tightly-coupled and a change in any of them will affect the rest, and subsequently the entire system. We listed these parameters and performed an analysis to aid radar system designers to optimally select suitable permutations of them depending on their reconfigurability and system requirements. Deramping of a real-sampled up-going LFMCW signal was used as a basis of this study. This paper presents a brief abstract of the analysis results, with examples of the effects of different parameter permutations. We found that this analysis has enabled us to assess FPGA signal processing blocks' reconfiguration parameters, and to identify radar system boundaries/limitations. These findings will be applied to future reconfigurable radar receiver research at TuDelft.
{"title":"Waveform and receiver parameters design choices for a reconfigurable digital FMCW radar","authors":"S. Neemat, O. Krasnov, A. Yarovoy","doi":"10.1109/IRS.2016.7497350","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497350","url":null,"abstract":"Real-time reconfigurable digital heterodyne LFMCW radar systems offer degrees of flexibility in selecting parameters for the transmitted waveform and for the digital receiver signal processing chain. These parameters are tightly-coupled and a change in any of them will affect the rest, and subsequently the entire system. We listed these parameters and performed an analysis to aid radar system designers to optimally select suitable permutations of them depending on their reconfigurability and system requirements. Deramping of a real-sampled up-going LFMCW signal was used as a basis of this study. This paper presents a brief abstract of the analysis results, with examples of the effects of different parameter permutations. We found that this analysis has enabled us to assess FPGA signal processing blocks' reconfiguration parameters, and to identify radar system boundaries/limitations. These findings will be applied to future reconfigurable radar receiver research at TuDelft.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129927142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497302
Hui Wang, Man Jiang, Shichao Zheng
Frequency Modulated Continuous Wave (FMCW) Synthetic Aperture Radar (SAR) system is gaining more and more attention for earth observation with characteristics of compact size, light weight and low cost. A Ka FMCW miniature SAR system, called MiSAR, is given in this paper, which could be applied to the unmanned aerial vehicle (UAV) observation aero. We have taken the flight test. The real data has been processed based on the modified RD algorithm. Moreover, the motion compensation and PGA technology are used to improve the image quality. The feasibility of the Ka FMCW MiSAR system and the reliability of the imaging algorithm are all verified. On the other hand, the GMTI processing result is also presented based on the DPCA technology. The result proves the Ka FMCW MiSAR system's GMTI ability.
{"title":"Airborne Ka FMCW MiSAR system and real data processing","authors":"Hui Wang, Man Jiang, Shichao Zheng","doi":"10.1109/IRS.2016.7497302","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497302","url":null,"abstract":"Frequency Modulated Continuous Wave (FMCW) Synthetic Aperture Radar (SAR) system is gaining more and more attention for earth observation with characteristics of compact size, light weight and low cost. A Ka FMCW miniature SAR system, called MiSAR, is given in this paper, which could be applied to the unmanned aerial vehicle (UAV) observation aero. We have taken the flight test. The real data has been processed based on the modified RD algorithm. Moreover, the motion compensation and PGA technology are used to improve the image quality. The feasibility of the Ka FMCW MiSAR system and the reliability of the imaging algorithm are all verified. On the other hand, the GMTI processing result is also presented based on the DPCA technology. The result proves the Ka FMCW MiSAR system's GMTI ability.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129392913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497292
Conghui Ma, G. Wen, Jinrong Zhong, Xiaoliang Yang, Baiyuan Ding, Leping Chen
Scattering center extraction from Synthetic Aperture Radar (SAR) data is a critical step in model-based SAR automatic target recognition (ATR). Three dimensional electromagnetic model (3D em-model) provides a concise and physically relevant description of target's electromagnetic scattering behavior by a set of representative scattering centers. In this paper, 3D em-model is used to guide scattering center extraction in SAR data. Firstly, 3D em-model is projected to the 2D measurement plane to predict the scattering region and the attributed parameters of each scattering center. Then, scattering center is extracted in the corresponding region predicted by 3D em-model with the model predicted parameters as an initial guess. Finally, a search strategy is adopted to optimize the scattering region and find the optimal parameters. Experiments using data simulated by a high-frequency electromagnetic code verify the validity of this method.
{"title":"Three dimensional electromagnetic model guided scattering center extraction","authors":"Conghui Ma, G. Wen, Jinrong Zhong, Xiaoliang Yang, Baiyuan Ding, Leping Chen","doi":"10.1109/IRS.2016.7497292","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497292","url":null,"abstract":"Scattering center extraction from Synthetic Aperture Radar (SAR) data is a critical step in model-based SAR automatic target recognition (ATR). Three dimensional electromagnetic model (3D em-model) provides a concise and physically relevant description of target's electromagnetic scattering behavior by a set of representative scattering centers. In this paper, 3D em-model is used to guide scattering center extraction in SAR data. Firstly, 3D em-model is projected to the 2D measurement plane to predict the scattering region and the attributed parameters of each scattering center. Then, scattering center is extracted in the corresponding region predicted by 3D em-model with the model predicted parameters as an initial guess. Finally, a search strategy is adopted to optimize the scattering region and find the optimal parameters. Experiments using data simulated by a high-frequency electromagnetic code verify the validity of this method.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129488397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497311
E. Swiercz
Radar tomography allows to build a two-dimensional image from one-dimensional functions obtained from radar returns. In this paper the possibility of usage of the reassigned spectrogram as well as different reassigned forms of time-frequency distributions in the Doppler radar tomography imaging is evaluated. The image is obtained from a multi-component signal with time-frequency modulations resulting from rotation. The algorithm of imaging with high resolution is tested on simulated data.
{"title":"Application of the reassignment of time-frequency distributions to Doppler radar tomography imaging of a rotating multi-point object","authors":"E. Swiercz","doi":"10.1109/IRS.2016.7497311","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497311","url":null,"abstract":"Radar tomography allows to build a two-dimensional image from one-dimensional functions obtained from radar returns. In this paper the possibility of usage of the reassigned spectrogram as well as different reassigned forms of time-frequency distributions in the Doppler radar tomography imaging is evaluated. The image is obtained from a multi-component signal with time-frequency modulations resulting from rotation. The algorithm of imaging with high resolution is tested on simulated data.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115435068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：